Rquot
Rquot is a statistical framework for robust quotient estimation, designed to compute a quotient of two dependent measurements in a way that minimizes sensitivity to outliers and measurement error. It provides estimators for the typical ratio E[Y]/E[X] or for the central tendency of the ratio Y/X when X and Y are observed with noise and possible correlation.
Origin and naming: The term Rquot arose in robust statistics literature in the early 2010s, as researchers
Methodology: The Rquot estimator uses a robust loss function, such as Huber or Tukey, applied to the
Applications: Rquot is used in pharmacokinetics for drug concentration ratios, in finance for robust pricing or
Implementation: Several statistical tools offer Rquot implementations, including packages for R and Python. Typical workflows involve
See also: robust statistics, ratio estimator, bootstrap, delta method, outlier detection.